Hi Greetings from InfoLogitech, Inc. Here is our open requirement which can be filled immediately. Kindly respond to this requirement with your resume, contact and current location info to speed up the interview process. Job Position : Data Engineer – Databricks & Amazon Lakehouse ArchitecturesJob Location : Bridgewater, NJJob Duration: 6 MonthsJob Description: Job Title: Data Engineer – Databricks & Amazon Lakehouse Architectures Location: Bridgewater, NJ (On-site) About the Role: We are seeking a highly skilled Data Engineer with proven experience in designing, building, and maintaining scalable data platforms using both Databricks Lakehouse and Amazon Lake House architectures. You will play a key role in our cloud data strategy, enabling robust data pipelines and delivering analytical capabilities for enterprise-scale workloads. Key Responsibilities: Design, implement, and optimize scalable and reliable data lakehouse architectures using Databricks (on Azure/AWS) and Amazon Lake House (AWS native stack including S3, Glue, Redshift, Athena, Lake Formation, etc.) Develop and maintain robust ETL/ELT pipelines using Databricks notebooks (PySpark/Scala), AWS Glue, or other modern tools Architect solutions that ensure high data quality, data governance, and security across cloud platforms Lead the migration, integration, and transformation of large datasets between on-premise and cloud (Databricks and AWS) environments Collaborate with data scientists, analysts, and business stakeholders to understand data needs and deliver data models for BI/AI/ML workloads Implement best practices for data lake organization, storage optimization (Delta Lake, Parquet), metadata cataloging, and versioning Monitor, troubleshoot, and optimize pipeline performance and cost efficiency in multi-cloud environments Document technical solutions, data flow diagrams, and operational processes Mentor junior engineers and promote a culture of innovation and continuous improvement Required Skills & Qualifications: Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or a related field 8+ years of experience as a Data Engineer or similar role with hands-on experience in both Databricks Lakehouse and Amazon Lake House architectures Deep expertise in Databricks (Delta Lake, Databricks Workflows, Unity Catalog, Databricks SQL, and integrations with Azure or AWS) Advanced knowledge of the AWS Lake House stack: S3, Glue, Redshift, Athena, Lake Formation, Kinesis, and related services Strong proficiency in SQL, PySpark, and/or Scala Experience with ETL/ELT pipeline development, orchestration (Airflow, Databricks Jobs, Step Functions, etc.) Solid understanding of data warehousing concepts, schema design, and performance optimization Experience with data governance, access controls, lineage, and cataloging (Unity Catalog, AWS Glue Data Catalog, Lake Formation) Working knowledge of CI/CD, DevOps practices for data pipelines, and version control (Git) Excellent problem-solving skills, communication, and ability to work in cross-functional teams Preferred Skills: Exposure to BI and analytics tools (PowerBI, Tableau, Databricks SQL Analytics, QuickSight) Experience with data privacy and compliance (HIPAA, GDPR, etc.) Knowledge of real-time data streaming (Kafka, Kinesis) Familiarity with Infrastructure-as-Code (Terraform, CloudFormation) for data platform provisioning Certifications in AWS and/or Databricks Job Type: Contract Pay: $74.00 - $79.00 per hour Ability to Relocate: Bridgewater, NJ 08807: Relocate before starting work (Required) Work Location: In person